Mac16,9
Geekbench AI Score
20710
Single Precision Score
23337
Half Precision Score
21352
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | November 04 2025 07:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9414
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9871
1.84 KIPS |
|
|
Image Classification (Q)
|
96% |
9087
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19782
320.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20610
334.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20315
329.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
77238
90.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87821
102.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
84651
99.2 IPS |
|
|
Object Detection (SP)
|
100% |
8711
691.0 IPS |
|
|
Object Detection (HP)
|
100% |
9314
738.8 IPS |
|
|
Object Detection (Q)
|
92% |
8685
693.2 IPS |
|
|
Face Detection (SP)
|
100% |
35234
418.7 IPS |
|
|
Face Detection (HP)
|
100% |
38355
455.7 IPS |
|
|
Face Detection (Q)
|
100% |
31566
375.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42250
325.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44200
340.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
40441
315.9 IPS |
|
|
Style Transfer (SP)
|
100% |
181814
233.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200074
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
198550
256.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25551
943.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26523
979.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22639
836.0 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5686
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4475
77.3 IPS |
